. Findings By employing machine learning-based anomaly detection models, an anomaly score for each engine is calculated … manufacturing and inspection process. In terms of business application, data integration and machine learning-based anomaly … detection can help manufacturers establish quality management policies that reflect the actual customer-perceived quality by …

statistics for anomaly detection and additional day-of-week preprocessing to aid detection. Most significantly, we also provide a …

system. To detect abnormal users, anomaly detection system (ADS) is used. In this paper, we present a novel and hybrid … Anomaly Detection System with the uses of IP gray space analysis and dominant scanning port identification heuristics used to … rule based anomaly detection which detects five types of anomalies with their three types of potential behaviors and …